Public Health Data Engineer
Guidehouse - Atlanta, GA
Hiring: Public Health Data Engineer Company: Guidehouse Location: Atlanta, GA Job Posted Time: 2026-09-03 11:03:33 Employment Type: Internship Target Skills & Keywords : AI, AWS, Agile, Azure, Azure Functions, CI/CD, Cosmos DB, Data Pipeline, Databricks, ELT, ETL, Git, Java, Kibana, Lambda, Machine Learning, PySpark, Python, Quality Assurance, Redshift, S3, SQL, Spark About the job Required Skills: •Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources. •Actively facilitate and support implementation and enhancement of data models, databases, and cloud-based data solutions. •Participate in data integration, migration, and modernization initiatives under the guidance of senior engineers. •Develop and maintain scripts, queries, and applications using technologies such as Python, SQL, and PySpark. •Support cloud-based data environments and services in AWS and Azure. •Assist with the implementation of CI/CD processes and software development best practices using Git and related tools. •Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities. •Perform data validation and quality assurance activities to help ensure data accuracy, completeness, and reliability. Qualifications: •Internship, academic, research, or project experience involving data engineering, cloud computing, or software development. •Basic understanding of relational databases and data querying concepts. •Operational familiarity with version control systems such as Git. •Basic understanding of software development lifecycle and Agile methodologies. •Strong analytical, problem-solving, and troubleshooting skills. •Demonstrated capacity to learn new technologies and work collaboratively in a team environment. •Strong verbal and written communication skills. •Exposure to Databricks, Spark, or large-scale data processing technologies. •Operational familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB. •Exposure to CI/CD tools and DevOps practices. Compensation: •Medical, Rx, Dental & Vision Insurance Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!